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Sep 9, 2020 · We propose that simple ordinal rank best predicts traits when competition is density-dependent, whereas proportional rank best predicts traits when competition is density-independent. We found that for 75% of traits (15/20), one rank metric performed better than the other.
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We propose that simple ordinal rank best predicts traits...
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We propose that simple ordinal rank best predicts traits when compe-tition is density-dependent, whereas proportional rank best predicts traits when competition is density-independent. We found that for 75% of traits (15/20), one rank metric performed better than the other.
- Emily J Levy, Matthew N Zipple, Emily McLean, Fernando A Campos, Fernando A Campos, Mauna Dasari, Ar...
- 2020
May 2, 2020 · We propose that ordinal rank best predicts outcomes when competition is density-dependent, while proportional rank best predicts outcomes when competition is density-independent.
We propose that ordinal rank best predicts outcomes when competition is density-dependent, while proportional rank best predicts outcomes when competition is density-independent. We found that for 75% (15/20) of the traits, one of the two rank metrics performed better than the other.
May 2, 2020 · We propose that ordinal rank best predicts outcomes when competition is density-dependent, while proportional rank best predicts outcomes when competition is density-independent. We found that for 75% (15/20) of the traits, one of the two rank metrics performed better than the other.
- Emily J Levy, Matthew N Zipple, Emily McLean, Fernando A Campos, Mauna Dasari, Arielle S Fogel, Math...
- 2020
Across group-living animals, linear dominance hierarchies lead to disparities in access to resources, health outcomes and reproductive performance. Studies of how dominance rank predicts these traits typically employ one of several dominance rank metrics without examining the assumptions each metric makes about its underlying competitive processes. Here, we compare the ability of two dominance ...
People also ask
Does simple ordinal rank predict competition?
Which rank metric predicts traits when competition is density-independent?
Why is proportional rank better than simple ordinal rank?
Can different dominance rank metrics predict multiple traits in the same population?
How does dominance rank predict a group-living animal?
Which rank metric is best for predicting traits?
Sep 9, 2020 · We propose that simple ordinal rank best predicts traits when competition is density-dependent, whereas proportional rank best predicts traits when competition is density-independent. We found that for 75% of traits (15/20), one rank metric performed better than the other.
